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Stratification, Sampling and Estimation: Finding the best design for the Swedish Investment Survey
Stockholms universitet, Samhällsvetenskapliga fakulteten, Statistiska institutionen.
2013 (engelsk)Independent thesis Basic level (degree of Bachelor), 10 poäng / 15 hpOppgaveAlternativ tittel
Stratifiering, sampling och estimering: Vilken design passar bäst för Investeringsenkäten? (svensk)
Abstract [en]

In this thesis, different methods are used to investigate the best design for the Swedish Investment Survey. The methods used today are stratify on number of employees, Neyman-allocation, STSRS-sampling and HT-estimation. The alternative methods in this thesis are stratify on turnover, -sampling and GREG-estimation. These methods are combined into eight combinations and tested on the enterprises and their investments in the Swedish energy domains. The conclusion is that changing the design to stratify on turnover, -sampling and GREG-estimation will provide a smaller standard deviation in most of the energy domains.

sted, utgiver, år, opplag, sider
2013. , s. 38
Emneord [en]
sampling design, stratified simple random sampling without replacement (STSRS), probability proportional to size without replacement, Neyman allocation, Horvitz-Thompson estimation, generalised regression estimation (GREG), standard deviation, Swedish Investment Survey
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Identifikatorer
URN: urn:nbn:se:su:diva-90970OAI: oai:DiVA.org:su-90970DiVA, id: diva2:629100
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Tilgjengelig fra: 2013-06-27 Laget: 2013-06-16 Sist oppdatert: 2013-06-27bibliografisk kontrollert

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Stratification, Sampling and Estimation(1078 kB)1156 nedlastinger
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